Module code: BUSM160
Credits: 15.0
Semester: SEM2
Contact: Dr Georg Von Graevenitz
This compulsory module is taught in Semester 2 building on statistical methods in Data Analytics module in Semester 1. The module introduces students to the problem of causal inference, theories of causality and causal effects empirical methods. The focus is on randomised controlled trials in similar settings. Students learn about different econometric techniques to identify causal effects and their strengths and weaknesses. Data collection and organisation of real or natural experiments, data analysis and reporting results to non-specialists is covered.
Connected course(s): UDF DATA
Assessment: 50.0% Examination, 50.0% Coursework
Level: 7
